SCIENCE@home

MLED_BI: a new BI Design Approach to Support Multilingualism in Business Intelligence

Nedim Dedić,C. Stanier

Published 2017 in TEM Journal

ABSTRACT

Existing approaches to support Multilingualism (ML) in Business Intelligence (BI) create problems for business users, present a number of challenges from the technical perspective, and lead to issues with logical dependence in the star schema. In this paper, we propose MLED_BI (Multilingual Enabled Design for Business Intelligence), a novel BI design approach to support the application of ML in BI Environment, which overcomes the issues and problems found with existing approaches. The approach is based on a revision of the data warehouse dimensional modelling approach and treats the Star Schema as a higher level entity. This paper describes MLED_BI and the validation and evaluation approach used.

PUBLICATION RECORD

  • Publication year

    2017

  • Venue

    TEM Journal

  • Publication date

    2017-11-01

  • Fields of study

    Business, Computer Science, Engineering, Linguistics

  • Identifiers
    DOI 10.18421/TEM64-17
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-29 of 29 references · Page 1 of 1

CITED BY